Optimal management of cultivated land coupling remote sensing-based expected irrigation water forecasting

This study proposed a novel cultivated land planning approach coupling expected irrigation water prediction and crop planting structure optimization. Under the guidance of the expected irrigation water prediction, the development of agricultural planting strategies was proposed through the cultivate...

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Bibliographic Details
Published in:Journal of cleaner production Vol. 308; p. 127370
Main Authors: Luo, Biao, Liu, Xiao, Zhang, Fan, Guo, Ping
Format: Journal Article
Language:English
Published: Elsevier Ltd 25.07.2021
Subjects:
agricultural land
China
decision making
Economic benefits
Food production
Forecasting
irrigation water
Multiobjective programming
prediction
Remote sensing
soil water
water use efficiency
China
Food production
Economic benefits
Forecasting
China
Remote sensing
Multiobjective programming
ISSN:0959-6526, 1879-1786
Online Access:Get full text
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Summary:This study proposed a novel cultivated land planning approach coupling expected irrigation water prediction and crop planting structure optimization. Under the guidance of the expected irrigation water prediction, the development of agricultural planting strategies was proposed through the cultivated land planning method to improve the efficiency of water use and ensure agricultural production. This approach was consisted of two models: a combination forecasting model was developed for estimating expected irrigation water with help of remote sensing data (RSCM); and a bi-level multiobjective programming model for planning crop planting structure (BMPSOM) was formulated for crop planting structure programming. Then, the proposed approach applied to a real-world case in Northwest China for verifying its validity. Results show that: 1) the forecast accuracy of the combination forecast model has been greatly improved compared to the single forecast model, the accuracy test results are RMSE = 0.25 × 108 m3, MAPE = 0.78%; 2) the use of remote sensing data can reflect the soil moisture with spatial variability in the forecast; 3) BMPSOM model can well reflect the leader-follower relationship and make tradeoff among multiple objectives of each decision maker in tackling practical problem. Application has proved that the agricultural planting strategy formulated by this approach can not only ensure economic benefits but also increase food production under limited water resources. Therefore, this method has good application prospects in areas where water resources are scarce. [Display omitted] •A novel forecasting-optimization approach is proposed for planning crop planting area.•The spatial soil moisture is measured based on remote sensing information.•A combination forecasting method is formulated to estimate expected irrigation water with higher accuracy.•Tradeoffs among multiple concerns from two-level decision makers are balanced.•A real case is applied to demonstrate the applicability and feasibility of the proposed approach.
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2021.127370